Skip to main content

PromptCraft: A Prompt Perturbation Toolkit for Prompt Robustness Analysis

Project description

PromptCraft

A Prompt Perturbation Toolkit for Prompt Robustness Analysis

Code License License Python 3.9+

Table of Contents

Installation

pip install promptcraft

Character Editing

from promptcraft import character

sentence = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
level = 0.25  # Number of characters that will be edited

character_tool = character.CharacterPerturb(sentence=sentence, level=level)

Character Replacement

char_replace = character_tool.character_replacement()

Character Deletion

char_delete = character_tool.character_deletion()

Character Insertion

char_insert = character_tool.character_insertion()

Character Swap

char_swap = character_tool.character_swap()

Keyboard Typos

char_keyboard = character_tool.keyboard_typos()

Optical Character Recognition

char_ocr = character_tool.optical_character_recognition()

Word Manipulation

from promptcraft import word

sentence = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
level = 0.25  # Number of words that will be manipulated
word_tool = word.WordPerturb(sentence=sentence, level=level)

Synonym Replacement

word_synonym = word_tool.synonym_replacement()

Word Insertion

word_insert = word_tool.word_insertion()

Word Swap

word_swap = word_tool.word_swap()

Word Deletion

word_delete = word_tool.word_deletion()

Insert Punctuation

word_punctuation = word_tool.insert_punctuation()

Word Split

word_split = word_tool.word_split()

Sentence Paraphrasing

from promptcraft import sentence

sen = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
sentence_tool = sentence.SentencePerturb(sentence=sen)

Back Translation by Hugging Face

back_trans_hf = sentence_tool.back_translation_hugging_face()

Back Translation by Google Translator

back_trans_google = sentence_tool.back_translation_google()

Paraphrasing

sen_paraphrase = sentence_tool.paraphrase()

Formal Style

sen_formal = sentence_tool.formal()

Casual Style

sen_casual = sentence_tool.casual()

Passive Style

sen_passive = sentence_tool.passive()

Active Style

sen_active = sentence_tool.active()

Parallel Processing

Since all the methods are executed on the CPU, they can be performed in parallel using the multiprocessing package.

Structure of the Code

At the root of the project, you will see:

.
├── LICENSE
├── README.md
├── promptcraft
│   ├── __init__.py
│   ├── character.py
│   ├── parrot.py
│   ├── sentence.py
│   ├── styleformer.py
│   └── word.py
└── setup.py

Acknowledgement

This work was finished during my 2023 fall semester research rotation at the Dependable Computing Laboratory, Department of Electrical and Computer Engineering, Boston University, under the supervision of Prof. Wenchao Li.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

promptcraft-0.3.1.tar.gz (14.7 kB view details)

Uploaded Source

Built Distribution

promptcraft-0.3.1-py3-none-any.whl (15.1 kB view details)

Uploaded Python 3

File details

Details for the file promptcraft-0.3.1.tar.gz.

File metadata

  • Download URL: promptcraft-0.3.1.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for promptcraft-0.3.1.tar.gz
Algorithm Hash digest
SHA256 cbf3d2246a7151be019b40b27c512eec0426733d7db1a82b2b9771c8899b9b3c
MD5 0b29ad8334a28e5032b59d65cc370569
BLAKE2b-256 8f2937da706464684ddd750bfdbaceea38fc7c41cee523381c3a3f9a854473bc

See more details on using hashes here.

File details

Details for the file promptcraft-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: promptcraft-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 15.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for promptcraft-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 577113de4345c463f9ed0ff522476d5aee5314bd5b549d3fbcfffd29965a709f
MD5 0cf442c14e40161a3e9d98371a605ab1
BLAKE2b-256 321e1e5898c3252ad0fb59ee479f13d2795b979b8927b7728a471c532d745898

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page